TTL Memoized - A memoized decorator with TTL (time-to-live) support.
The idea of memoized is great, as some resources are expensive, so you want to cache them.
However, there isn’t a memoized lib support TTL (time-to-live) at the moment, or I haven’t find any thing yet.
So I implement this ttl_memoized to fill in the gap here.
Also, this lib is meant to be thread-safe, using threading.local object to store the variables.
Installation:
Should be faily simple using pip:
pip install ttl_memoized
Usage
The usage is simple, and the best way to explain it, is with my test cases:
def test_basic():
@memoized(ttl=0.5)
def a(name):
return datetime.datetime.now()
@memoized(ttl=0.5)
def b(name, *args, **kwargs):
return datetime.datetime.now()
a1 = a(1)
b1 = b(1, 2, 3, what='ever', you='want', to='be')
for i in range(100):
assert a1 == a(1)
for i in range(100):
assert b1 is b(1, 2, 3, what='ever', you='want', to='be')
a2 = a(2)
assert a2 != a1
# let the cache expired...
time.sleep(0.51)
assert a(1) != a1
assert b1 != b(1, 2, 3, what='ever', you='want', to='be')
Ceveat
The parameter for the functions is required to be serializable with json libs, as the lib is using json to build the keys from parameters.
1 maintainer
Metadata
1 maintainer
Release files for ttl_memoized 0.2.1
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Release files / ttl_memoized-0.2.1-py2.py3-none-any.whl
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| Tags | Python 2 Python 3 |
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